131 results about "Lung ventilation" patented technology

The utility model discloses a respiration and metabolism oxygen consumption measuring device which comprises an experiment cabin, an air inlet assembly and a differential pressure sensor, the experiment module is internally provided with an adsorption material for absorbing water and carbon dioxide; the air inlet assembly comprises an electromagnetic valve, one end of the air inlet assembly is communicated with the experiment module through a second pipeline, the other end of the air inlet assembly is communicated with the atmosphere or a normal pressure air storage bag, a positive pressure interface of a differential pressure sensor is communicated with the experiment module through a first pipeline, and a negative pressure interface of the differential pressure sensor is communicated with the atmosphere; the differential pressure sensor is used for collecting air pressure changes in the experiment module and obtaining respiration data of a detected object according to the air pressure changes, and the respiration data comprises respiration frequency and / or lung ventilation capacity. The respiratory data such as the respiratory rate and the lung gas energy change of a detected object can be obtained without an oxygen sensor, the device is used for measuring the metabolic oxygen consumption, the service life of equipment is prolonged, and the cost is reduced.

The invention relates to a visual airway clearance device with an intelligent airway internal and external oscillation control function. The visual airway clearance device comprises an electrical impedance imaging device, a controller, an airway internal oscillation device and an airway external oscillation device. The electrical impedance imaging device is used for evaluating the lung ventilation function condition of a patient and transmitting measured lung ventilation function index parameters of the patient to the controller; the controller receives the pulmonary ventilation function index parameters of the electrical impedance imaging device, processes the pulmonary ventilation function index parameters and outputs a control signal; and after receiving the control signal, the air passage internal and external oscillation devices adjust the operation modes and parameters of the air passage internal and external oscillation devices in real time. The system has the advantages that a four-dimensional integrated structure of electrical impedance imaging visual evaluation, intelligent mode selection, double-oscillation cooperation and closed-loop feedback is created for the first time, the problem that the traditional technology cannot dynamically adapt to the heterogeneity of patients is solved, and personalized airway clearance modes and optimal adjustment parameters are provided for different patients; and the effect of removing airway deposited secretions is obvious.

The embodiment of the invention provides a real-time pulmonary ventilation impedance monitoring method and system based on multi-modal data fusion, and the method comprises the steps: obtaining real-time multi-modal data from a plurality of sensors, the multi-modal data comprising a sound signal, an airflow signal and a pressure signal; performing fusion processing on the multi-modal data to generate comprehensive pulmonary ventilation impedance data; based on the comprehensive pulmonary ventilation impedance data, analyzing data distribution characteristics to detect anomalies; and when abnormal data distribution characteristics are detected, a fault early warning system is triggered to solve burst signal distortion. Through the scheme of the embodiment of the invention, the problem of how to carry out fault early warning on the monitoring system according to the abnormal data distribution characteristics so as to solve the problem of burst signal distortion can be solved.

In a method of ventilating excised lungs, a ventilation gas is supplied to an airway of a lung and a vacuum is formed around the lung. A quality of the vacuum is varied between a lower level and a higher level to cause the lung to breathe, while the pressure of the ventilation gas supplied to the airway is regulated to maintain a positive airway pressure in the airway of the lung. The vacuum may be cyclically varied between the two vacuum levels. The levels may be maintained substantially constant over a period of time, or one or both of the lower and higher levels may be adjusted during ventilation. The lung may be placed in a sealed chamber, and a vacuum is formed in the chamber around the lung.

The utility model discloses a respiration and metabolism oxygen consumption measuring device which comprises an experiment cabin, an air inlet assembly and a differential pressure sensor, the experiment module is internally provided with an adsorption material for absorbing water and carbon dioxide; the air inlet assembly comprises a resistance valve, one end of the air inlet assembly is communicated with the experiment module through a second pipeline, the other end of the air inlet assembly is communicated with the atmosphere or a normal pressure air storage bag, a positive pressure interface of a differential pressure sensor is communicated with the experiment module through a first pipeline, and a negative pressure interface of the differential pressure sensor is communicated with the atmosphere; the differential pressure sensor is used for collecting air pressure changes in the experiment module and obtaining respiration data of a detected object according to the air pressure changes, and the respiration data comprises respiration frequency and / or lung ventilation capacity. The respiratory data such as the respiratory rate and the lung gas energy change of a detected object can be obtained without an oxygen sensor, the device is used for measuring the metabolic oxygen consumption, the service life of equipment is prolonged, and the cost is reduced.

The disclosure relates to a lung function detection method, system and apparatus, and to a computer device and a storage medium. The method comprises: acquiring chest and abdomen surface point cloud data of a subject under test within a preset time period by means of a biological detection sensor; analyzing the chest and abdomen surface point cloud data, and determining lung ventilation change information of the subject under test; and according to the lung ventilation change information, determining a lung function detection result of the subject under test. The biological detection sensor is arranged within a preset range around the subject under test but does not come in contact with the subject under test.

The invention provides an anomaly identification method and device for pulmonary ventilation function examination, electronic equipment and a computer storage medium. The abnormal recognition method for pulmonary ventilation function examination comprises the following steps: S1, acquiring a pulmonary ventilation function examination curve to be recognized, and processing the pulmonary ventilation function examination curve by adopting an adaptive Fourier (AFD) method; and S2, inputting the lung ventilation function examination curve obtained after processing into a trained YOLO algorithm model, wherein the YOLO algorithm model identifies abnormal conditions of the lung ventilation function examination curve. According to the abnormity identification method, the AFD technology and the deep learning technology are combined, the abnormal condition of pulmonary ventilation function examination can be efficiently and accurately identified, the reliability and consistency of examination data are ensured, medical personnel can be assisted in completing examination quality control, and the examination efficiency is improved. And the problem of insufficient training and practical experience of medical personnel in some regions and some medical institutions is effectively relieved.

1. The name of the product of this design: inspection bracket. 2. Purpose of the product of this design: used for lung ventilation function examination. 3. The design key point of this appearance design product lies in the shape. 4. The picture or photo that best illustrates the design points: three-dimensional picture.

The invention discloses a novel intelligent lung function instrument, and belongs to the technical field of lung function instruments. Comprising an intelligent lung function instrument used for detecting the lung ventilation respiratory function to evaluate the lung function, a buccal device used for being held in the mouth of a patient for detection, and adjusting equipment used for pressing the buccal device. The auxiliary wearing equipment is used for assisting in wearing the intelligent lung function instrument on the ear; the disinfection equipment is used for disinfecting the interior of the buccal device; the buccal device is arranged on the intelligent lung function instrument and is communicated with the intelligent lung function instrument; according to the device, lung ventilation respiratory function detection operation can be carried out by blowing in a mode that a patient holds the device by hand, in the detection process, the patient can accurately carry out the blowing detection operation for the needed duration, multiple persons can continuously carry out lung ventilation respiratory function detection operation, disinfection can be carried out in real time, and the detection efficiency is improved. The normal influence on the detection result is avoided, and meanwhile, the risk of cross infection between patients is avoided.

The invention discloses a four-dimensional EIT respiration monitoring method based on digital twinborn assistance, which comprises the following steps: firstly, constructing an individualized digital twinborn model which comprises an accurate three-dimensional geometric structure and electrical characteristic parameters and covers thoracic cavity whole organ systems including double lungs, a heart, a central axis skeleton, a main bronchus, an esophagus and the like on the basis of a chest medical image CT of a patient; the method comprises the steps that firstly, a stable and standardized theoretical reference voltage is generated on a model through electromagnetic field simulation, then, virtual-real fusion is conducted on the theoretical reference voltage, a clinically-collected voltage signal in real time and a clinically-actually-measured reference voltage sequence, and finally, a four-dimensional conductivity change image is reconstructed based on the fused dynamic voltage difference. According to the method, reference drift is effectively inhibited, individualized anatomical information is fused, and semi-absolute quantitative evaluation of the pulmonary ventilation function is achieved.

The invention provides a monitoring method, system and device based on a shared EIT wearable sensor and a medium, and the method comprises the steps: measuring the dynamic change of electrical impedance in a thoracic cavity through a sensor device attached to a chest region of a tested person, so as to collect signals related to pulmonary ventilation and blood flow; the collected signals related to lung ventilation and blood flow are subjected to signal processing, the pulmonary alveolar ventilation volume and the lung blood flow within unit time are calculated according to the signals so as to obtain the real-time ventilation / blood flow perfusion ratio, and regional analysis is carried out so that synchronous monitoring of the ventilation / blood flow perfusion ratios of different lung areas can be carried out. By sharing the EIT sensor array, synchronous monitoring of systemic circulation, pulmonary ventilation and the V / Q ratio is achieved, the number of used sensors is reduced, and the burden and medical cost of a patient are reduced. By combining an intelligent algorithm and a data fusion technology, comprehensive physiological information is provided, and a new solution is provided for personalized medical treatment and remote monitoring.

The invention discloses a child lung function rehabilitation respiratory training device capable of being remotely monitored, and relates to the technical field of medical rehabilitation, the child lung function rehabilitation respiratory training device comprises a training device body, limiting grooves are symmetrically formed in the two sides of one end of the training device body, and limiting rods are connected to the interiors of the two limiting grooves in an attached mode; the end, away from the trainer body, of the limiting rod is fixedly connected with a cover. The bottom end of the transparent cover cylinder is limited through the air outlet, the contact sensing module is arranged at the bottom end of the ball support and makes contact with the bottom end of the foam suspension ball, the falling frequency of the foam suspension ball is monitored, the ascending and descending data of the ball body is recorded in cooperation with the position sensing module in the foam suspension ball, and the child respiratory rehabilitation training process is completely recorded; and the foam suspension balls with different weights are adopted in different stages, so that the strength and the control level of thorax, diaphragm and abdominal muscles of children are fully exercised, and continuous improvement of pulmonary ventilation function rehabilitation is facilitated.

A broncho-sleeve for one-lung or two-lung ventilation procedures includes an elongated body having a distal end and a proximal end, the elongated body defining a lumen therein; and a bronchial cuff attached to the distal end of the elongated body. The bronchial cuff is inflatable to provide a single-lung bronchial blocker allowing one-lung ventilation when the distal end is positioned in a left or a right bronchial lumen, and to provide two-lung ventilation when the distal end is positioned in a trachea. The elongated body has an outer diameter less than 7.5 mm and an inner diameter of at least 2.8 mm.

The utility model relates to the field of single-lung ventilation suites, in particular to a visible single-lung ventilation suite, and aims to solve the technical problems that the conventional single-lung ventilation suite is fixed by adopting methods such as adhesive tape pasting or cotton thread binding and the like, so that the facial discomfort of a patient is easily caused; according to the technical scheme, the visual single-lung ventilation suite comprises a gas guide tube, a visual tube, a limiting assembly, an inflation assembly and a fixing assembly; the fixing assembly capable of sliding is additionally arranged on an existing single-lung ventilation suite, the single-lung ventilation suite can be fixed to the face of a patient, displacement of the single-lung ventilation suite is avoided, the skin of the patient is not prone to being injured due to the fact that the fixing band is provided with the skin-friendly cloth on the inner side, and the comfort level of the patient is improved; meanwhile, the fixing assembly can prevent the teeth of the patient from making direct contact with the pipeline, the pipeline is prevented from being knocked or flattened by the teeth of the patient, and the problem that the face of the patient is prone to discomfort due to the fact that an existing single-lung ventilation suite is fixed through adhesive tape pasting or cotton thread binding and the like is solved.

The utility model discloses a blocking catheter for single-lung ventilation. The blocking catheter comprises a main catheter body. A camera cavity channel is formed in the main catheter body, a camera used for being connected with an external processor is arranged in the camera cavity channel in a sliding and sleeved mode, and the camera cavity channel comprises a front view port located at the near end of the main catheter body and a side view port located in the middle of the main catheter body and close to the near end of the main catheter body. The camera is used for obtaining the view field in front of the near end of the main catheter body through the front view port, and the camera is used for obtaining the view field of the part, located outside the bronchus, of the main catheter body through the side view port. The utility model has the advantages that the visual fields at different positions can be obtained, and the placement and the positioning are convenient.

The invention relates to the technical field of respiratory function monitoring, and discloses a pulmonary ventilation blood flow distribution real-time monitoring method and evaluation system based on a sensor. The method comprises the following steps: acquiring multi-modal data such as a blood oxygen saturation waveform, an airflow rate waveform and a thoracic pressure waveform of a lung area; performing time synchronization processing on the data to generate a time alignment sequence; dividing the data into an inspiration phase, an expiration phase and a transition phase according to a preset rule; extracting time-frequency domain features from each phase segment, and constructing a multi-dimensional respiration feature matrix; identifying an abnormal breathing mode and marking an abnormal section through breathing phase switching frequency analysis; decomposing the normal segment feature matrix by using a lung pathological feature library to generate a pathological feature vector; a pathological feature vector is optimized through a ventilation and blood flow coupling model; and carrying out abnormal region positioning based on the lung pathology propagation network, and generating a lung partition function evaluation result. The method realizes non-invasive and real-time monitoring, and is suitable for scenes such as clinical monitoring and rehabilitation evaluation.

The invention relates to the technical field of lung function rehabilitation, and provides a clinical lung function rehabilitation device for the respiratory medicine department. An adjusting mechanism is installed in the movable frame, and a limiting frame is installed at one end of the adjusting mechanism; second connectors are mounted on the two sides of the respiratory training device respectively; an air delivery pipe is installed on the outer wall of the second connector, a sputum excretion mechanism is installed at one end of the air delivery pipe, the sputum excretion mechanism comprises a positive pressure exhalation device, and one end of the positive pressure exhalation device is installed at one end of the air delivery pipe. A patient breathes by holding a silica gel nozzle, so that oxygen enters a gas conveying pipe through a breathing training device 5 and then enters a positive-pressure exhalation device and a second connecting pipe, then gas enters the positive-pressure exhalation device through exhalation, the positive-pressure exhalation device generates positive pressure to keep an airway open, and the positive-pressure exhalation device is used for breathing. The device is usually used for helping expectoration and improving the lung ventilation function, and then the lung is exercised through breathing.

The invention relates to the technical field of lung function detection, and particularly discloses a lung ventilation function detection system based on algorithm analysis, which adopts a data processing technology based on deep learning to carry out data analysis on breathing parameters of a patient, extracts semantic embedding feature representation of each breathing parameter data item, and obtains a semantic embedding feature representation of each breathing parameter data item; and on the basis of the semantic association topological relation among the breathing parameter data items, global depth association coding is performed on the semantic embedding features of the breathing parameter data items, so that global depth perception of the breathing state of the patient is realized, and whether the patient suffers from bronchial asthma or not is intelligently identified. In this way, the limitation of a traditional data analysis method can be effectively overcome, the dependence on professional knowledge of doctors is reduced, the accuracy and efficiency of pulmonary ventilation function detection are improved, and the risks of misdiagnosis and missed diagnosis are reduced.

The invention discloses a double-cavity tracheal catheter three-way control valve, which relates to the technical field of anesthesia auxiliary instruments and comprises a three-way control valve main body, a sealing ring, a rotating valve, a sealing gasket and a shell cover. The middle part of the three-way control valve main body is provided with a round pipe box, and the bottom is provided with left and right air outlet pipes, a shaft groove, two limiting strips and a main air inlet pipe on the side wall; the shaft groove is located in the bottom center of the round tube box; the centers of the left and right branch air pipe round holes and the center of the main air inlet round hole form an isosceles triangle on the same plane; the two limiting strips are positioned on two sides of the main air pipe circular hole; the rotating valve is integrally formed by a fan-shaped box cover, a right baffle, a left baffle, a rotating shaft and a T-shaped handle and is installed in a circular tube box of the three-way control valve body, and switching of single-lung and double-lung ventilation can be switched by rotating the rotating valve left and right. The anesthesia device is simple in structure, convenient to operate, high in practicability and capable of greatly relieving the workload of anesthetists.

The application discloses a lung ventilation-perfusion imaging area image segmentation and quantitative analysis system and relates to the technical field of medical image analysis.The system comprises a data acquisition module, which acquires SPECT V / Q image data and case information corresponding to the SPECT V / Q image data, and generates a structured data set; a feature extraction module, which performs format conversion and multi-scale feature extraction on the SPECT V / Q image data in the structured data set, and generates a compressed feature map data set; a lung lobe segmentation module, which inputs the compressed feature map data set into a U-Net model, segments lung lobe areas, performs post-processing, and generates a lung lobe area mask image; and an image fusion module, which performs alpha blending fusion on the lung lobe area mask image and the SPECT V / Q image data, and generates a color fusion image.The application captures lung alveolus-to-lung lobe structure by fusing four branch features of a hollow pyramid network, and reduces GPU memory consumption.

The invention relates to the technical field of medical care, in particular to an intelligent early warning system for dynamic deterioration of chronic obstructive pulmonary disease, which is used for solving the technical problem of inaccurate evaluation of lung ventilation capability of a user in the prior art. The system comprises a data acquisition unit used for acquiring lung function time sequence data and multi-dimensional physiological time sequence data of a target user in an observation stage; the observation phase comprises a plurality of consecutive dates; the processing unit is used for determining suspected abnormal days according to the lung function time sequence data, determining the deviation degree of the multi-dimensional physiological time sequence data of the suspected abnormal days and the multi-dimensional physiological time sequence data of the reference day and the similarity of the deviation degree of the physiological time sequence data of different dimensions, determining the abnormal days from the suspected abnormal days based on the deviation degree and the similarity, and sending the abnormal days to the user. The chronic obstructive pulmonary disease dynamic deterioration risk level of the target user is determined based on the abnormal days; and performing risk early warning based on the chronic obstructive pulmonary disease dynamic deterioration risk level of the target user.

The present application relates to the technical field of health care, in particular to an intelligent early warning system for dynamic exacerbation of chronic obstructive pulmonary disease, which is used to solve the technical problem of inaccurate assessment of lung ventilation capacity of users in the prior art. The system comprises: a data acquisition unit for acquiring lung function time series data and multi-dimensional physiological time series data of a target user in an observation period; the observation period comprises a plurality of consecutive days; a processing unit for determining suspected abnormal days according to the lung function time series data, determining the deviation degree of the multi-dimensional physiological time series data of the suspected abnormal days and the multi-dimensional physiological time series data of the reference days and the similarity of the different dimensional physiological time series data deviation degrees, determining the abnormal days from the suspected abnormal days based on the deviation degree and the similarity, and determining the dynamic exacerbation risk level of the target user's chronic obstructive pulmonary disease based on the abnormal days; and performing risk warning based on the dynamic exacerbation risk level of the target user's chronic obstructive pulmonary disease.

The invention relates to the technical field of pulmonary function detection, in particular to a pulmonary ventilation function detection device, method and system. The tension degree of a subject is quantified through waveform change of an electrocardio curve and amplitude fluctuation of an arm myoelectricity curve to determine the initial tension degree; the initial tension degree is corrected according to the characteristic that tension expressions presented by an electrocardio curve and an arm myoelectricity curve during tension of the subject are consistent, and the corrected tension degree with more accurate tension degree characterization is determined; then the initial pulmonary ventilation volume time sequence curve is corrected in combination with the corrected tension degree, and the problem that the pulmonary ventilation function of the subject is not accurately measured directly according to the pulmonary ventilation volume time sequence curve of the subject in an existing pulmonary ventilation capacity test is solved; the accuracy of lung ventilation function detection according to the corrected lung ventilation volume time sequence curve is higher.

The present application relates to a kind of fusion lung ventilation spatiotemporal feature acquisition method, on the basis of establishing three-dimensional electrical impedance image, carry out the visualization research of lung dynamic ventilation condition, fusion evaluation lung ventilation time and spatial heterogeneity, for dynamic respiratory process, the activity of each three-dimensional electrical impedance image will be obtained in time sequence arrangement and obtain three-dimensional electrical impedance activity curve, extract fusion lung ventilation spatiotemporal feature from three-dimensional electrical impedance activity curve for lung function assessment.Can realize long-term continuous dynamic monitoring;First use three-dimensional EIT to carry out lung function research, can be dynamically observed to whole lung ventilation, fusion evaluation lung ventilation time and spatial heterogeneity, convert into three-dimensional electrical impedance activity curve, it is beneficial to clinical auxiliary diagnosis and local lung function characterization.

The invention discloses a method for preparing a VA-ECMO lung injury treatment medicine by using ginkgolide A to regulate YARS1, and relates to the technical field of biological medicine, the method comprises the following steps: by using ginkgolide A as a YARS1 protein regulator, preparing the medicine for treating the VA-ECMO lung injury through virtual screening, binding affinity confirmation and cell efficacy confirmation; wherein the virtual screening is based on a protein structure model of YARS1, and bilobalide A with high affinity binding energy with YARS1 is screened out through molecular docking. It is proved that ginkgolide A can effectively improve the lung ventilation function by regulating YARS1, repair the alveolar epithelial barrier structure and inhibit the inflammatory oxidative stress reaction, and the lung injury treatment effect and clinical transformation safety under the support of VA-ECMO are improved.

The present disclosure provides a unique solution for assisting in the ventilation of lungs of subject that is performed by artificial mechanical ventilator. The solution of the present invention improves the efficiency of the ventilation effect by applying desired pressure profile on portions of the upper body part of the subject in synchronization with the mechanical ventilator operation, thereby creating a desired pressure profile or gradient in the lungs airways to ensure that air pumped into the lungs by the mechanical ventilator spreads more homogeneously in the lungs than without the intervention of the system of the present invention. The application of pressure is determined after analyzing data from sensors of the system that are placed on a plurality of portions on the upper body part of the subject and data received from the mechanical ventilator. These sensors sense data indicative of the ventilation profile within the lungs, i.e. pressure profile along different portions of the lung. The system provides extra-thoracic pressure on the rib cage according to pre-defined and adaptive algorithms based on the physiological status, the respiratory mechanics, and the inhomogeneous nature of lung injury. By applying pressure to the hyperventilated areas and reducing the transpulmonary pressure gradient, the system prevents hyperinflation trauma to the open areas and atelecto-trauma to the closed areas. The system is synchronized with the mechanical ventilator and adapt to changes in the patient's respiratory mechanics.

To provide a warning device for an abnormal position of an endotracheal tube.SOLUTION: A warning device for an abnormal position of an endotracheal tube that monitors accuracy of an installation position of an endotracheal tube includes: a monitoring module 1 for collecting chest X-ray image materials of a patient; an object detection module 2 for detecting an object based on a deep learning model; a position evaluation module 3 for interpreting the position appropriateness of the endotracheal tube based on a result of the object detection module; and a display module 4 for displaying an evaluation result on the position appropriateness of the endotracheal tube and providing a necessary warning as a clinical reference. Thereby, the position of the endotracheal tube is evaluated by an artificial intelligence calculation model using a chest X-ray image captured for the patient. A main objective is to enable clinical medical staff to quickly and accurately determine the appropriateness of the position of the endotracheal tube, reduce the rate of unplanned slipping of the endotracheal tube and the incidence of single-lung ventilation, and improve the medical quality, thereby improving the safety and vital sign stability of the patient.SELECTED DRAWING: Figure 1

The application provides a method and system for estimating autonomous inspiration effort intensity based on a respiratory system model under pressure control ventilation, which simulates airway pressure waveform data assuming no autonomous inspiration effort by combining airway pressure waveform data existing autonomous inspiration effort under pressure control ventilation with autonomous breathing lung ventilation model, obtains airway resistance and respiratory system compliance to obtain flow waveform according to respiratory mechanics motion equation by using original waveform data measured clinically, and then carries out error analysis with flow waveform existing autonomous inspiration effort measured clinically, finally estimates autonomous inspiration effort intensity by using linear regression curve fitting obtained from error index value of flow waveform data assuming no autonomous inspiration effort and flow waveform data existing autonomous inspiration effort obtained from a number of known gold standard esophageal pressure deviation patients, and realizes autonomous inspiration effort intensity estimation without esophageal pressure.

The invention discloses a thoracic operation single-lung ventilation monitoring device and monitoring method based on an EIT technology, the thoracic operation single-lung ventilation monitoring device comprises a plurality of monitoring modules, each monitoring module comprises an electrode membrane and an electrode array, the electrode array is integrated on the electrode membrane, and the electrode membrane is provided with a first adhesive layer so as to be adhered to the body surface of a human body; the system further comprises a receiving host detachably arranged on the single side of the human body surface, a receiving module and a wireless module are arranged in the receiving host, the receiving module is electrically connected with the multiple electrode arrays so as to receive impedance change data of each electrode array, the receiving module is electrically connected with the wireless module, and the wireless module is electrically connected with the receiving module. The wireless module is electrically connected with an external EIT device, and the external EIT device receives impedance change data of each electrode array and converts voltage data into a two-dimensional cross-sectional image. The one-lung ventilation monitoring of the EIT technology during the thoracic operation can be realized, the protective ventilation of the lung is realized, the oxygenation index is improved, the occurrence rate of hypoxemia is reduced, and the pulmonary complications are reduced.

The invention discloses a mask for lung function rehabilitation, and relates to the technical field of medical instruments, the mask comprises a lung function sensor, the outer surface of the lung function sensor is electrically connected with a wire, one end of the wire is electrically connected with a host, and one side of the lung function sensor is movably connected with a lung function filter tip. The sealing sleeve is attached to the mouth of a user, the mouth is completely wrapped in the sealing sleeve, the jaw of the user abuts against the bottom plate, the neck protection plate is attached to the neck of the user, then related breathing operation is conducted according to the requirements of breathing training or lung ventilation function examination, breathing information is converted through the lung function sensor, and the breathing information is displayed through the display screen. During use, the mouthpiece located in the sealing sleeve can be contained in the mouth, first sealing is formed on the mouth of a user, then second sealing is formed through assistance of the sealing sleeve, and therefore the problems that due to the fact that the lips are not tightly closed, errors are generated in respiratory training and lung function examination results, and accuracy is affected are solved.